End of training

README.md

@@ -17,12 +17,12 @@ model-index:
       name: imagefolder
       type: imagefolder
       config: default
-      split: train[:600]
+      split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.16666666666666666
+      value: 0.11875
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8426
-- Accuracy: 0.1667
+- Loss: 2.0764
+- Accuracy: 0.1187
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 1.9752          | 0.125    |
-| No log        | 2.0   | 16   | 1.8430          | 0.1667   |
-| No log        | 3.0   | 24   | 1.8143          | 0.1667   |
+| No log        | 1.0   | 10   | 2.1023          | 0.1      |
+| No log        | 2.0   | 20   | 2.0941          | 0.1      |
+| No log        | 3.0   | 30   | 2.0767          | 0.1187   |
 
 
 ### Framework versions